In a new article in eGems, the NIH Health Care Systems Research Collaboratory’s Patient-Reported Outcomes (PRO) Core gathered first-hand experiences on the incorporation of PROs for both care and research. The Core uses case studies from seven programs to present practical approaches for initiating and implementing PROs. The article includes tips on instrument selection, methods for integrating PRO collection into clinical workflow, consideration for user experience, and methods to monitor and assess data quality.
Read the full article: Case Studies from the Clinic: Initiating and Implementing Patient-Reported Outcome Measures
The webinar copresented on March 2, 2016, by the Clinical and Translational Science Awards (CTSA) program and PCORnet is available as a video and slideset.
Petra Kaufmann, MD, MSc
Director, Office of Rare Diseases Research and Division of Clinical Innovation
National Center for Advancing Translational Sciences
National Institutes of Health
Rachael Fleurence, PhD
Program Director, CER Methods and Infrastructure Program
Patient-Centered Outcomes Research Institute
Sabune J. Winkler, JD
Director, Regulatory Affairs Operations
March 2, 2016
3pm - 4pm ET
To join the WebEx, click here: http://bit.ly/1TGRTFS
Call-in number: 1-855-244-8681
Access code: 737 807 582
On September 17, the Precision Medicine Initiative Working Group presented to NIH Director Dr. Francis Collins a detailed design framework to advance the creation of a national, large-scale research cohort for developing more effective treatments tailored to individuals. The framework makes recommendations on cohort assembly, participant engagement, data, biological specimens, policy, and governance. The recommendations are based on a set of high-value scientific opportunities that were identified by the working group following extensive stakeholder engagement.
The NIH plans to move quickly to build the infrastructure so that participants can begin enrolling in the cohort in 2016, with a goal of enrolling at least 1 million participants in 3 to 4 years. Visit the NIH News & Events website for more details.
The National Patient-Centered Clinical Research Network (PCORnet) has recently made a draft protocol for its first randomized clinical trial available for stakeholder review. Researchers, clinicians, patients and the public are all invited to read the current draft of the study protocol and provide comments and feedback.
The ADAPTABLE Study (PDF), which will investigate whether lower- or higher-dose aspirin is better for preventing heart attack and stroke in patients at risk for heart disease, is PCORnet’s first randomized pragmatic clinical trial. Designed to leverage PCORnet’s Clinical Data Research Networks (CDRNs) and Patient-Powered Research Networks (PPRNs), the trial will serve as twofold purpose: answering a clinical question of direct importance for patients, families, and healthcare providers, and serving as a demonstration of PCORnet’s capabilities in conducting clinical research on a national scale.
Links to the proposed study protocol, a survey tool for capturing feedback, and other information about ADAPTABLE Study, including press releases, fact sheets, and infographics, are available at the link below:
ADAPTABLE: The Aspirin Study
Follow PCORnet on Twitter @PCORnetwork for updates on the ADAPTABLE #ClinicalTrial
In January of 2015, the NIH HCS Collaboratory’s Patient-Reported Outcomes (PRO) Core Group convened a 2-day workshop in Baltimore devoted to identifying barriers and possible solutions to the use of NIH-supported PRO tools in comparative-effectiveness research (CER).
Findings from the meeting, which include case study presentations and reflections from multiple stakeholders representing the research, clinical, and patient communities, were distilled into a summary document available from the NIH Collaboratory Knowledge Repository at the link below:
The workshop summary is also available on the Living Textbook’s “Tools for Research” section, under “Patient-Reported Outcomes White Paper.”
An explosion in the collection of personal data is fostering concerns about the extent to which health information is accessed—and about the privacy and confidentiality of this information. Two recent National Public Radio stories highlight a few of the burgeoning uses of these abundant data.
In the first, an insurer uses personal data to predict who will get sick so it can identify patients at highest risk for hospital admission, or readmission, and then provide them with personal health coaches. The coordinated care given to patients by the coaches (for example, arranging a visiting nurse or streamlining appointments) has been shown to improve hospitalization rates. The insurer says it follows federal health privacy guidelines for anonymity and uses the information to better serve its members.
The second story explains that results of online health searches aren’t always confidential, and data brokers are tracking information and selling it to interested parties. The author notes that data gathered on the Web are, for the most part, unregulated. Both stories raise questions about privacy and confidentiality of health information and how to best protect it.
Pragmatic clinical trials also seek to use personal health data to answer important questions on the risks, benefits, and burdens of therapeutic interventions. In a blog post in Health Affairs, Joe Selby, executive director of the Patient-Centered Outcomes Research Institute (PCORI), underscores the need for trust, support, and active engagement of patients when involving them in health data research, even with privacy protections in place. PCORI has launched the National Patient-Centered Clinical Research Network (PCORnet) as a means of harnessing large clinical data sets to study the comparative effectiveness of treatments, and a central tenet of the network is that patients, clinicians, and healthcare systems should be actively involved in the governance of the use of health information.
Read the full articles
From NPR: Insurer Uses Personal Data To Predict Who Will Get Sick
From NPR: Online Health Searches Aren't Always Confidential
From Health Affairs: Advancing the Use of Health Data in Research With PCORnet
The Patient-Centered Outcomes Research Institute (PCORI) has approved the first pragmatic clinical trial to be performed through the National Patient-Centered Clinical Research Network (PCORnet)—the ADAPTABLE study (Aspirin Dosing: A Patient-centric Trial Assessing Benefits and Long-term Effectiveness).
Over the course of the trial, 20,000 study participants with cardiovascular disease will be randomly assigned to receive one of two commonly used doses of aspirin—a low dose of 81 mg per day versus a higher dose of 325 mg per day—in order to determine which provides the optimal balance between protecting patients with cardiovascular disease from heart attack and stroke, and minimizing bleeding events associated with aspirin therapy. The trial will also employ a number of innovative methods, including electronic health record (EHR)-based data collection and a patient-centered, web-based enrollment model in partnership with the Health eHeart Alliance Patient-Powered Research Network (PPRN).
The ADAPTABLE trial, which includes six of PCORnet’s Clinical Data Research Networks (CDRNs), will be led and coordinated through the Duke Clinical Research Institute (DCRI).
Read more about the ADAPTABLE Aspirin Trial here:
Fact Sheet (PDF)
DCRI Coordinating Center Announcement
The National Patient-Centered Clinical Research Network (PCORnet) Patient-Reported Outcomes (PRO) Task Force has released a new white paper that delineates definitions for data contributed by patients. They hope to facilitate the incorporation of information provided by patients across the networks and to maximize data sharing and interoperability by operationalizing the terms within PCORnet.
The following three terms were adopted to describe the patient-contributed data collected across PCORnet:
PATIENT-REPORTED OUTCOME (PRO): a report that comes directly from the patient about the status of a patient’s health condition without amendment or interpretation of the patient’s response by a clinician or anyone else.
PATIENT-CENTERED OUTCOMES: outcomes that matter to patients
PATIENT-GENERATED HEALTH DATA: health-related data (such as health history, symptoms, biometric data, treatment history, lifestyle choices, and other information) that are created, recorded, gathered, or inferred by or from patients or their designees (i.e., care partners or those who assist them) to help address a health concern. Patient-generated health data include patient-reported outcomes.
The white paper can be found under Patient-Reported Outcomes White Papers on the Tools for Research page on the living textbook, or accessed directly here (PDF).
This month’s issue of the Journal of General Internal Medicine features a systematic review of stakeholder engagement in comparative effectiveness research and patient-centered outcomes research. Thomas W. Concannon, PhD, and coauthors identified 70 peer-reviewed articles since 2003 that reported on this topic.
Key results included:
- Patients were the most commonly engaged group, followed by modest engagement of clinicians, and infrequent engagement of other stakeholders across the healthcare system.
- Stakeholders were more often engaged in earlier stages of research (evidence prioritization and generation) than in later activities such as evidence interpretation and application.
Overall, reporting of stakeholder activities and the effects of engagement were highly variable in the literature. To address this, the authors developed a 7-item questionnaire for the reporting of stakeholder engagement in research. A suggested plan for future research on stakeholder engagement is also outlined.
Recently the journal Health Affairs and the Patient-Centered Outcomes Research Institute (PCORI) conducted a Twitter chat on the topic of patient engagement in research. The chat was an hour-long moderated question-and-answer session with Susan Sheridan, the director of patient engagement at PCORI. Participants joined the conversation via #PatientHC and talked about what patient engagement looks like and concerns about the privacy of patient health data.
The hosts referenced the journal’s 2013 theme issue on patient engagement as well as three videos produced in partnership with PCORI that illustrate ways patients and providers are incorporating patient engagement in healthcare decisions. An archived version of the Twitter chat is here.